Update app.py

app.py

@@ -1,6 +1,6 @@
 from tqdm import tqdm
 from subprocess import Popen, PIPE as P
-b=Popen("wget 1https://huggingface.co/peterpeter8585/deepseek-llm-7b-chat-Q8_0-GGUF/resolve/main/deepseek-llm-7b-chat-q8_0.gguf -O ./model.gguf",shell=True,stderr=P,stdout=P)
+#b=Popen("wget 1https://huggingface.co/peterpeter8585/deepseek-llm-7b-chat-Q8_0-GGUF/resolve/main/deepseek-llm-7b-chat-q8_0.gguf -O ./model.gguf",shell=True,stderr=P,stdout=P)
 print(b.stdout.read()+b.stderr.read())
 from langchain_experimental.tools.python.tool import PythonREPLTool as PYT
 from langchain.agents import load_tools, create_structured_chat_agent as Agent,AgentExecutor as Ex, AgentType as Type
@@ -84,7 +84,7 @@ llm = HuggingFacePipeline.from_model_id(
 from langchain.retrievers import WikipediaRetriever as Wiki
 import gradio as gr
 chatbot = gr.Chatbot(
-    label="SYAI4.1",
+    label="PIXAL(Pimary Interactive X-ternal Assistant with multi Language) 1.0",
     show_copy_button=True,
     layout="panel"
 )
@@ -101,28 +101,10 @@ memory=MEM()
 tools.append(crt(name="wiki",description="위키 백과를 검색하여 정보를 가져온다",retriever=Wiki(lang="ko",top_k_results=1)))
 agent=Ex(agent=Agent(llm,tools,prompt),tools=tools,verbose=True,handle_parsing_errors=True,memory=memory)
 def chat(message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p, chat_session):
+    history: list[tuple[str, str]]):
     return agent.invoke({"input":message})
 ai1=gr.ChatInterface(
     chat,
-    chatbot=chatbot,
-    additional_inputs=[
-        gr.Textbox(value="You are a helpful assistant.", label="System message",  interactive=True),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.1, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.1,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-        gr.Textbox(label="chat_id(please enter the chat id!)")
-    ],
-    
+    chatbot=chatbot,    
 )
 ai1.launch()